Dr. Eirini Kalliamvakou is a senior researcher at GitHub Next. Eirini has built a career on studying software engineers, how to measure their productivity, how developer experience impacts productivity, and more.

Recently, Eirini has been working on quantifying the impacts of GitHub Copilot. Does it actually help software engineers be more productive? Tristan and Eirini explore how to quantify developer productivity in the first place, and finally, arriving at whether or not Copilot‌ makes a difference. In the search for real business value, this research is a real bellwether of things to come.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

The Analytics Engineering Podcast is sponsored by dbt Labs.

Join data practitioners and data leaders this October in Las Vegas at Coalesce, the analytics engineering conference hosted by dbt Labs. Register now at coalesece.getdbt.com. Listeners of this show can use the code podcast20 for a 20% discount.

Yohei Nakajima is an investor by day and coder by night. In particular, one of his projects, an AI agent framework called BabyAGI that creates a plan-execute loop, got a ton of attention in the past year.

The truth is that AI agents are an extremely experimental space, and depending on how strict you want to be with your definition, there aren't a lot of production use cases today. 

Yohei discusses the current state of AI agents and where they might take us. 

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

The Analytics Engineering Podcast is sponsored by dbt Labs.

If Data Vault is a new term for you, it’s a data modeling design pattern. We’re joined by Brandon Taylor, a senior data architect at Guild, and Michael Olschimke, who is the CEO of Scalefree—the consulting firm whose co-founder Dan Lindstedt is credited as the designer of the data vault architecture. 

In this conversation with Tristan and Julia, Michael and Brandon explore the Data Vault approach among data warehouse design methodologies. They discuss Data Vault’s adoption in Europe, its alignment with data mesh architecture, and the ongoing debate over Data Vault vs. Kimball methods. 

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

The Analytics Engineering Podcast is sponsored by dbt Labs.

Jonathan Frankle is the Chief Scientist at MosaicML, which was recently bought by Databricks for $1.3 billion. 

MosaicML helps customers train generative AI models on their data. Lots of companies are excited about gen AI, and the hope is that their company data and information will be what sets them apart from the competition. 

In this conversation with Tristan and Julia, Jonathan discusses a potential future where you can train specialized, purpose-built models, the future of MosaicML inside of Databricks, and the importance of responsible AI practices.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

The Analytics Engineering Podcast is sponsored by dbt Labs.

In this conversation with Tristan recorded at Coalesce 2023, Kasey Mazza, an analytics engineering manager on the RevOps team at HubSpot, discusses the roles of data analysts and analytics engineers, the importance of building internal data communities, and the evolving landscape of data teams. 

Watch Kasey’s Coalescse 2023 presentation The career growth software development lifecycle.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

It turns out data plays a big role in getting cereal manufactured and delivered so you can enjoy your Cheerios reliably for breakfast. We talk with Arjun Narayan, CEO of Materialize, a company building an operational warehouse, and Nathan Bean, a data leader at General Mills responsible for all of the company's manufacturing analytics and insights. 

We discuss Materialize’s founding story, how streaming technology has matured, and how exactly companies are leveraging their warehouse to operationalize their business—in this case, at one of the largest consumer product companies in the United States. 

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

Yannick Misteli is the head of engineering for the go-to-market domain at Roche, a $250 billion multinational pharmaceutical and diagnostics company. 

Roche was an early supporter of dbt Cloud, and Yannick helped move his team of 120+ engineers to a modern data stack. He always finds a way to push the boundaries to make a large company founded in 1896 incredibly modern and innovative. We wanted to know more about the "how" of the work—the people, process, and technology. 

Read more about Roche's data journey here: https://docs.getdbt.com/blog/dbt-squared

Andy Pavlo is a professor of databaseology (he says it's a made-up word) at Carnegie Mellon and currently on leave to build his own company—OtterTune, which uses AI to figure out the settings to get the best performance out of databases. He is one of the preeminent minds on databases and a die-hard relational database maximalist. We talk about the state of databases today, why there are so many specialized databases (and if we need so many), why tuning databases is so hard but important, and how the database landscape will evolve.

Jerry Liu is the CEO and co-founder of LlamaIndex. LlamaIndex is an open-source framework that helps people prep their data for use with large language models in a process called retrieval augmented generation. LLMs are great decision engines, but in order for them to be useful for organizations, they need additional knowledge and context, and Jerry discusses how companies are bringing their data to tailor LLMs for their needs.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

Ian Macomber, head of analytics engineering and data science at Ramp and formerly the VP of analytics and data engineering at Drizly, and Ryan Delgado, a staff software engineer at Ramp, have played pivotal roles in establishing Ramp's data team from the ground up and are spearheading the development of their comprehensive roadmap.

In this conversation with Tristan and Julia, Ian and Ryan share insights on how Ramp's data team transformed unstructured data from contracts into valuable insights to enable faster decision-making. The $8 billion company values speed and empowers teams to build, ship, and measure products quickly. Ian and Ryan also talked about their approach to adopting new tech and elevating data as an equal player alongside product engineering and design.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

Daniel Le is the CFO at dbt Labs where he has built multiple teams. He is also the former head of FP&A and operations at Zoom, and he helped scale FP&A as the former finance director at Okta. 

In this conversation with Julia, Daniel shares his view as CFO on the challenges SaaS companies face and the importance of finance teams creating a holistic view of their business. Daniel gives advice to data leaders about how they can automate business processes with dbt Cloud and use self-service analytics to automate revenue recognition, generate consistent headcount analytics, and more to impact their organization. Read more about Daniel’s story here.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

Bob Muglia likely needs no introduction. The former CEO of Snowflake led the company during its early, transformational years after a long career at Microsoft and Juniper. 

Bob recently released the book The Datapreneurs about the arc of innovation in the data industry, starting with the first relational databases all the way to the present craze of LLMs and beyond.

In this conversation with Tristan and Julia, Bob shares insights into the future of data engineering and its potential business impact while offering a glimpse into his professional journey. 

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

Misha Panko has worked in data for a long time, including on high performance data teams at Uber and Google. Today, Misha is the co-founder and CEO of Motif Analytics, a product focused on helping growth and ops teams understand their event data.

In this episode, Tristan and Misha nerd out about the state of the art in computational neuroscience, where Misha got his PhD. They then go deep into event stream data and how it differs from classical fact and dimension data, and why it needs different analytical tools.

Make sure to check out the back half of the episode, where they dive into AI and how Motif is applying breakthroughs in language modeling to train foundation models of event sequences—check out his team’s blog post on their work.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

The Analytics Engineering Podcast is sponsored by dbt Labs.

Advances in ML have transformed data privacy from a regulatory necessity into an opportunity to improve the work of data people.

Synthetic data for modeling + testing is one example of a hard thing that's now easy - and in this conversation with Tristan and Julia, Ian + Abhishek cover many other ways that privacy can actually be a skill that propels your work forward, rather than a mere legal best practice.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

Julia just got back from Data Council in Austin, a conference organized by Pete Sonderling, where lots of startups share what they're building, data practitioners go to learn in hands-on workshops, and of course investors go to spot the next big trend.

In this episode, Taylor Murphy (Head of Product & Data at Meltano) + Pedram Navid (Founder, West Marin Data) join Julia to recap the conference and have a bit of fun. They talked streaming, how the MDS is growing up, new SQL variants, and, of course, AI.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

Brad Culberson is a Principal Architect in the Field CTO’s office at Snowflake.

Niall Woodward is a co-founder of SELECT, a startup providing optimization and spend management software for Snowflake customers.

In this conversation with Tristan and Julia, Brad and Niall discuss all things cost optimization: cloud vs on-prem, measuring ROI, and tactical ways to get more out of your budget.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

Nick Handel, as co-founder at Transform, helped develop the popular open source metrics framework MetricFlow. Drew Banin, a co-founder at dbt Labs, helped build the initial version of the dbt Semantic Layer, which launched last year.  

Transform was acquired in February by dbt Labs, and in this conversation with Tristan, they talk through their collective plans for the future of the dbt Semantic Layer.

For full show notes and to read 7+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

Sarah and Chris are both at the forefront of bringing the promise of gen AI to our actual work as data people—which is a unique challenge!  Precise truth is critical for business questions in a way that it’s not for a consumer search query.

Sarah Nagy is the CEO of Seek AI, a startup that aims to use natural language processing to change how professionals work with data.

Chris Aberger currently leads Numbers Station AI, a startup focused on data-intensive workflow automation.

In this conversation with Tristan and Julia, they dive into what this future might actually look like, and tangibly what we can expect from gen AI in the short/medium term.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

Auren Hoffman currently serves as the CEO and Chief Historian at SafeGraph, a data-as-a-service company he founded, which provides primarily location data. 

In this conversation with Tristan and Julia, Auren shares how truly few companies are making use of 3rd-party datasets today, how opening up more datasets to public research could help us solve big problems, and a fun fact about Abraham Lincoln's (!) work in the industry. 

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

Mike Stonebraker is a veritable database pioneer and a Turing Award recipient. In addition to teaching at MIT, he is a serial entrepreneur and co-creator of Postgres.

Andy Palmer is a veteran business leader who serves as the CEO of Tamr, a company he co-founded with Mike. Through his seed fund Koa Labs, Andy has helped found and/or fund numerous innovative companies in diverse sectors, including health care, technology, and the life sciences. 

In this conversation with Tristan and Julia, Mike and Andy take us through the evolution of database technology over 5+ decades. They share unique insights into relational databases, the switch from row-based to columnar databases, and some of the patterns of database adoption they see repeated over time.

For full show notes and to read 7+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

Wes McKinney is the creator of pandas, co-creator of Apache Arrow, and now Co-founder/CTO at Voltron Data.

In this conversation with Tristan and Julia, Wes takes us on a tour of the underlying guts, from hardware to data formats, of the data ecosystem.

What innovations, down to the hardware level, will stack to lead to significantly better performance for analytics workloads in the coming years?

To dig deeper on the Apache Arrow ecosystem, check out replays from their recent conference at https://thedatathread.com.

For full show notes and to read 7+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

Product experimentation is full of potholes for companies of any size, given the number of pieces (tooling, culture, process, persistence) that need to come together to be successful.

Vijaye Raji (currently Statsig, formerly Facebook + Microsoft) and Sean Taylor (currently Motif Analytics, formerly Facebook + Lyft) have navigated these failure modes, and are here to help you (hopefully) do the same.

This convo with Tristan + Julia is light on tooling + heavy on process: how to watch out for spillover effects in experiments, avoiding bias, how to run an experiment review, and why experiment throughput is a better indicator of success than individual experiment results.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

The first LIVE IRL episode!  

Stephen Bailey, data engineer at Whatnot and writer of an incredibly entertaining data substack, joins Tristan for a follow-up conversation to Stephen’s Coalesce talk, “Excel at nothing: how to be an effective generalist.”

You can read Stephen’s writing at https://stkbailey.substack.com/.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

Eric Avidon is a journalist at TechTarget who's interviewed Tristan a few times, and now Tristan gets to flip the script and interview Eric. Eric is a journalist veteran, covering everything from finance to the Boston Red Sox, but now he spends a lot of time with vendors in the data space and has a broad view of what's going on. Eric and Tristan discuss AI and analytics and how mature these features really are today, data quality and its importance, the AI strategies of Snowflake and Databricks, and a lot more. Plus, part way through you can hear Tristan reacting to a mild earthquake that hit the East Coast.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

WARNING: This episode contains detailed discussion of data contracts.

The modern data stack introduces challenges in terms of collaboration between data producers and consumers. How might we solve them to ultimately build trust in data quality?

Chad Sanderson leads the data platform team at Convoy, a late-stage series-E freight technology startup. He manages everything from instrumentation and data ingestion to ETL, in addition to the metrics layer, experimentation software and ML. 

Prukalpa Sankar is a co-founder of Atlan, where she develops products that enable improved collaboration between diverse users like businesses, analysts, and engineers, creating higher efficiency and agility in data projects. 

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

Abhi is a growth and data leader, and an excellent Twitter follow. Most recently, he was Head of Growth and Analytics at Flexport, where he helped the company to grow 10x over the past 3 years. Previously, Abhi led growth and data teams at Keap, Hustle, and Honeybook.

In this conversation with Tristan and Julia, Abhi explains his methodology for setting up a new growth data organization, and how you might be falling victim to the dreaded "arbitrary uniqueness" bug.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs

Katie was a founding member of Reddit's data science team and, currently, as Twitter’s Data Science Manager, she leads the company’s infrastructure data science and analytics organization.

In this conversation with Tristan and Julia, Katie explores how, as a manager, to help data people (especially those new to the field!) do their best work.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

As Head of Analytics at Clearbit, Julie serves as a data team of one in a 200+ person company (wow!).

In this conversation with Tristan and Julia, Julie dives into how she's helped Clearbit implement data activation throughout the business, and realize the glorious dream of self-serve analytics.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

Jordan Tigani is an expert in large-scale data processing, having spent a decade+ in the development and growth of BigQuery, and later SingleStore.

Today, Jordan and his team at MotherDuck are in the early days of working on commercial applications for the open source DuckDB OLAP database.

In this conversation with Tristan and Julia, Jordan dives into the origin story of BigQuery, why he thinks we should do away with the concept of working in files, and how truly performant “data apps” will require bringing data to an end user’s machine (rather than requiring them to query a warehouse directly).

Matt Bornstein and Jennifer Li (and their co-author Martin Casado) of a16z have compiled arguably the most nuanced diagram of the data ecosystem ever made. 

They recently refreshed their classic 2020 post, "Emerging Architectures for Modern Data Infrastructure" and in this conversation, Tristan attempts to pin down: what does all of this innovation in tooling mean for data people + the work we're capable of doing? When will the glorious future come to our laptops?

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

ClickHouse, the lightning-fast open source OLAP database, was initially released in 2016 as an open source project out of Yandex, the Russian search giant.

In 2021, Aaron Katz helped form a group to spin it out of Yandex as an independent company, dedicated to the development + commercialization of the open source project.

In this conversation with Tristan and Julia, Aaron gets into why he believes open source, independent software companies are the future. And of course, this conversation wouldn't be complete without a riff on the classic "one database to rule all workloads" thread.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

Justin Borgman is the co-founder, Chairman and CEO of Starburst, and has almost a decade spent in senior executive roles building new businesses in the data warehousing and analytics space. 

In this conversation with Tristan and Julia, Justin dives into the nuts and bolts of Trino, the open source distributed query engine, and explores how teams are adopting a data mesh architecture without making a mess. 

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

Amit Prakash is Co-founder and CTO at ThoughtSpot. He has a deep background in search, having previously led the AdSense engineering team at Google and served on the early Bing team at Microsoft.

In this conversation with Tristan and Julia, Amit gets real about the promise of AI in data: which applications are being widely used today, and which are still a few years out?

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

Most recently leading a data engineering team at Perpay, Sarah has built and managed data platforms end to end by working closely with internal engineering, product, and operational teams. She recently left her role to pursue a wide variety of endeavors, including writing on her Substack (https://sarahsnewsletter.substack.com/).

In this conversation with Tristan and Julia, Sarah dives into how configuration-as-code can automate away data work, why you might want to consider adding a data lake to your architecture, and how those looking to build a self-serve data culture can look to self-serve frozen yogurt shops for inspiration.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

The Analytics Engineering Podcast is sponsored by dbt Labs.

Barry McCardel is the co-founder and CEO of Hex. Hex is an analytics tool that's structured around a notebook experience, but as you'll hear in the episode, goes well beyond the traditional notebook.

We're big fans of Hex at dbt Labs, and use it for a bunch of our internal data work. In this episode, Barry and Tristan discuss notebooks and data analysis, before zooming out to discuss the hype cycle of data science, how AI is different, the experience of building AI products, and how AI will impact data practitioners.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

The Analytics Engineering Podcast is sponsored by dbt Labs.

As a PhD candidate at MIT, Kevin (and friends) published Sherlock, a data type detection engine (a surprisingly bedeviling problem) for data cleaning + data discovery.

Now as co-founder and CEO of Metaplane, a data observability startup, Kevin applies these same automated data discovery methods to help data teams keep their data healthy.

In this conversation with Tristan & Julia, Kevin wins the coveted award for “most crystal-clear explanations of complex technical concepts through physics analogy.”  

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

A debate has erupted on data Twitter and data Substack - should the modern data stack remain unbundled, or should it consolidate?

In this conversation, Benn Stancil (Mode), David Jayatillake (Avora) and our host Tristan Handy try to make some sense of this debate, and play with various future scenarios for the modern data stack. 

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

Will the dream of a mythical database to handle all workloads (transactional + analytical) ever become a reality, or does it violate the laws of physics?

This question sparked a hearty debate internally at dbt Labs, and Jon "Natty" Natkins joins Julia here to continue the conversation.

Natty knows databases, and this episode will take you on a historical romp through the rise and fall of Hadoop, the transition to cloud data warehouses, and what's waiting for us next in database-land.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

Ashley makes unique connections in her writing and work. On her Substack, "syntax error at or near ❤️," Ashley might be found comparing growing companies to butterflies, or going deep on how to accommodate sensitive people in the workplace.

In this conversation with Tristan & Julia, Ashley dives into the nuts and bolts of her trajectory pushing data innovation forward at Hubspot.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

In this very special episode, we’ll be turning the spotlight on co-host Tristan Handy, the CEO & Co-founder of dbt Labs.

In this AMA with Julia, you’ll get to know more about Tristan as a human, as a writer, and as the CEO of dbt Labs helping to push the analytics engineering practice forward. 

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

Your company has one definition for revenue across the organization, one definition of the customer, and one definition of sign-up. For people whose jobs are so defined by ensuring we’re aligned, we can’t seem to standardize on one definition for the Data Scientist.

In this talk, Emilie Schario (Data Strategist-in-Residence at Amplify Partners and longtime dbt community member) proposes we lobby against the title Data Scientist, instead choosing some variation of the Core Four Data Roles: Data Analyst, Analytics Engineer, Data Engineer, and Machine Learning Engineer.

Register to catch the rest of Coalesce, the Analytics Engineering Conference, at https://coalesce.getdbt.com.

The Analytics Engineering Podcast is brought to you by dbt Labs.

How is the data landscape evolving, what trends should you pay attention to and which should you ignore?

In this panel, Julia Schottenstein (our fearless co-host and dbt Labs product manager) catches up with Sarah Catanzaro, Jennifer Li and Astasia Myers to dive into the trends playing out in our work.

Register to catch the rest of Coalesce, the Analytics Engineering Conference, at https://coalesce.getdbt.com.

The Analytics Engineering Podcast is brought to you by dbt Labs.

In this talk, former podcast guest Benn Stancil walks through what he believe the next evolution of the modern data stack should look like - and more importantly, how those who use it should experience it.

Register to catch the rest of Coalesce, the Analytics Engineering Conference, at https://coalesce.getdbt.com.

The Analytics Engineering Podcast is brought to you by dbt Labs.

Where does Snowflake go from here? What meta trends and technologies play into that vision? How does that impact the world of data analytics?

Christian and Tristan have no shortage of opinions or ideas. This is your chance to hear some of them, live and unfiltered.

Register to catch the rest of Coalesce, the Analytics Engineering Conference, at https://coalesce.getdbt.com.

The Analytics Engineering Podcast is brought to you by dbt Labs.

Reynold Xin is a technical co-founder and Chief Architect at Databricks. He’s also a co-creator and the top contributor to the Apache Spark project.

In this casual conversation with Drew Banin, co-founder and Chief Product Officer at dbt Labs, the two will be discussing the data infrastructure trends they find most interesting.

Register to catch the rest of Coalesce, the Analytics Engineering Conference, at https://coalesce.getdbt.com.

The Analytics Engineering Podcast is brought to you by dbt Labs.

Matt Turck has been publishing his ecosystem map since 2012. It was first called the Big Data Landscape. Now it’s the Machine Learning, AI & Data (MAD) Landscape. 

The 2024 MAD Landscape includes 2,011(!) logos, which Matt attributes first a data infrastructure cycle and now an ML/AI cycle. As Matt writes, “Those two waves are intimately related. A core idea of the MAD Landscape every year has been to show the symbiotic relationship between data infrastructure, analytics/BI,  ML/AI, and applications.”

Matt and Tristan discuss themes in Matt's post: generative AI’s impact on data analytics, the modern AI stack compared to the modern data stack, and Databricks vs. Snowflake (plus Microsoft Fabric).

For full show notes and to read 7+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

The Analytics Engineering Podcast is sponsored by dbt Labs.

The modern data stack is the third generation of data analysis products to come to prominence since the 90's. The prior waves—data warehouse appliances and then Hadoop—were both big steps forwards but ultimately failed to live up to their initial promise.

Is the modern data stack just another iteration in a long string of “trendy technologies” in data––waves that crash upon the shore but ultimately recede? Or is it somehow more permanent?

Register to catch the rest of Coalesce, the Analytics Engineering Conference, at https://coalesce.getdbt.com.

The Analytics Engineering Podcast is brought to you by dbt Labs.

What is it like to build a data team for a company in the data space?

This talk is centered around how dbt Labs is building their data team. We will cover how our team is structured, how we operate and interact with the greater organization, and how we set expectations and responsibilities that are helping us become a self-service organization.

Register to catch the rest of Coalesce, the Analytics Engineering Conference, at https://coalesce.getdbt.com.

The Analytics Engineering Podcast is brought to you by dbt Labs.

As a product leader at companies like Heroku and Zendesk, DeVaris specialized in building infrastructure-grade products. Currently, as the CEO of Meroxa, he enables teams to build real-time data infrastructure with the same ease as we now take for granted in batch.

In this romp of an episode, Tristan, Julia and DeVaris flow from his experience in tech mentorship, into the nuts and bolts of Change Data Capture (CDC), and how streaming data infrastructure can help data teams provide better end user experiences.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

David is Sr. Director of Data at Lyst, and as leader of their analytics + data science teams he has followed the evolution of data roles closely over the past decade.

David spends a lot of time thinking about career progression + data team structure, and in this conversation with Tristan + Julia they dive into the classic individual contributor vs manager conundrum, migrating between warehouses, and reactive vs proactive data workflows.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.